Surrogate Modelling package for OpenTURNS
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Updated
Mar 13, 2019 - Python
Surrogate Modelling package for OpenTURNS
In this repository I publish the python code, that was part of my master thesis. The thesis can be found here, however its in German though, sry. :/
Multi-fidelity Generative Deep Learning Turbulent Flows
Open-source constructor of surrogates and metamodels
Can we visualize a large scientific data set with a surrogate model? We're building a GAN for the Earth's Mantle Convection data set to see if we can! (Work presented at IEEE VIS 2021)
3D CNN to predict single-phase flow velocity fields
Model identifiability pipeline using surrogate models trained on a latent space extracted by tensor decompositions.
cNN-DP: Composite neural network with differential propagation for impulsive nonlinear dynamics.
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A novel neural network for effective learning of highly impulsive/oscillatory dynamic systems by jointly utilizing low-order derivatives
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Machine Learning as an alternative to simulation models for decision making
Encoding physics to learn reaction-diffusion processes
Pytorch based reimplementation of COMS: Conservative Objective Models for Effective Offline Model-Based Optimization.
Benchmarking Surrogate-based Optimisation Algorithms on Expensive Black-box Functions
surF - a surrogate modeling method based on Discrete Fourier Transform
Two Blade Propeller Surrogate Model using XGBoost Algorithm
Code for AAAI 2024 paper: LRS: Enhancing Adversarial Transferability through Lipschitz Regularized Surrogate
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